Die ganzheitliche Methode musikalischer Begabungsprüfung

Ohne ZusammenfassungIn dankbarer Erinnerung an meinen verehrten Münchener Lehrer Kurt Huber, dessen frühzeitigen gewaltsamen Tod (13. 7. 43) wir noch immer beklagen. Die Arbeit entsprang einer seiner letzten wissenschaftlichen Anregungen.     

Versuch einer Theorie der paranoischen Eigenbeziehung und Wahnbildung

Ohne ZusammenfassungIm wesentlichen war die Arbeit vor 2 Jahren fertiggestellt; die Publikation hat sich aus äußeren Gründen verzögert.     

Schreib- und Griffdruckuntersuchungen bei einfachen Hin- und Herbewegungen

Ohne Zusammenfassung     

Association between anxiety and depression in children and adolescents with anxiety disorders

The relationship between anxiety and depression was examined in a sample of 106 children and adolescents referred to an outpatient anxiety disorder clinic for children. Twenty-eight percent of patients with DSM-III diagnoses of anxiety disorders displayed a concurrent major depression. Children with anxiety disorders plus major depression were found (1) to be older, (2) to demonstrate more severe anxiety symptomatology, and (3) to be diagnosed with different rates of certain anxiety-disorder subtypes, when compared to anxious patients without major depression. Nondepressed anxious children and adolescents did not differ from a psychopathological control group in severity of either anxiety or depression symptoms.     

Canonical analysis of two convex polyhedral cones and applications

Canonical analysis of two convex polyhedral cones consists in looking for two vectors (one in each cone) whose square cosine is a maximum. This paper presents new results about the properties of the optimal solution to this problem, and also discusses in detail the convergence of an alternating least squares algorithm. The set of scalings of an ordinal variable is a convex polyhedral cone, which thus plays an important role in optimal scaling methods for the analysis of ordinal data. Monotone analysis of variance, and correspondence analysis subject to an ordinal constraint on one of the factors are both canonical analyses of a convex polyhedral cone and a subspace. Optimal multiple regression of a dependent ordinal variable on a set of independent ordinal variables is a canonical analysis of two convex polyhedral cones as long as the signs of the regression coefficients are given. We discuss these three situations and illustrate them by examples.